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CT-MRI LI-RADS v2017: A Comprehensive Guide for Beginners.
Francesca Patella1, Filippo Pesapane1, Enrico Maria Fumarola1
1Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.
This guide explains the Liver Imaging-Reporting and Data System (LI-RADS) for diagnosing hepatocellular carcinoma (HCC) using CT and MRI scans. It details indications, features, and the diagnostic algorithm for beginners.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Hepatocellular carcinoma (HCC) is a prevalent liver cancer with high mortality.
- Early diagnosis of HCC is crucial for effective treatment and improved patient outcomes.
- The Liver Imaging-Reporting and Data System (LI-RADS) standardizes liver imaging interpretation for HCC in at-risk individuals.
Purpose of the Study:
- To provide a beginner-friendly guide to the LI-RADS algorithm.
- To explain the indications for using LI-RADS in liver imaging.
- To elucidate the diagnostic algorithm for HCC detection and characterization.
Main Methods:
- Pictorial review of LI-RADS application in CT and MRI.
- Explanation of major and ancillary imaging features relevant to HCC.
- Illustrative clinical examples to demonstrate the LI-RADS diagnostic pathway.
Main Results:
- The review clarifies the indications for LI-RADS implementation.
- Key imaging features for HCC diagnosis are described.
- The LI-RADS diagnostic algorithm is presented with practical examples.
Conclusions:
- Understanding LI-RADS is fundamental for accurate HCC diagnosis in clinical practice.
- This guide serves as an educational tool for healthcare professionals new to LI-RADS.
- Standardized reporting through LI-RADS enhances congruence with HCC diagnostic criteria.
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